J
Ji Wu
Researcher at Massey University
Publications - 40
Citations - 600
Ji Wu is an academic researcher from Massey University. The author has contributed to research in topics: Volatility (finance) & Stock market. The author has an hindex of 10, co-authored 32 publications receiving 322 citations. Previous affiliations of Ji Wu include Lincoln University (New Zealand) & Xiamen University.
Papers
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Do extreme returns matter in emerging markets? Evidence from the Chinese stock market
TL;DR: In this paper, the authors investigate the presence of a similar effect in the emerging Chinese stock markets with portfolio-level analysis and firm-level Fama-MacBeth cross-sectional regressions.
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Doing Good Business by Hiring Directors with Foreign Experience
TL;DR: Wang et al. as mentioned in this paper examined the effects of returnee directors on firms' corporate social responsibility (CSR) engagement, and found that returnee shareholders significantly improved their firms' CSR engagement.
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CSR and Idiosyncratic Risk: evidence from ESG information disclosure
TL;DR: Using the corporate social responsibility (CSR) report disclosure as an external shock on investors' heterogeneous belief in China, this article found that firms with environmental, social and governance (ESG) information disclosure have lower idiosyncratic risk than their counterparts.
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Does idiosyncratic volatility matter in emerging markets? Evidence from China
TL;DR: The authors investigated the time series behavior of idiosyncratic volatility and its role in asset pricing in China and found no evidence of a long-term trend in the time-series behavior of I volatility and found that I volatility is best characterized by an autoregressive process with regime shifts that coincide with structural market reforms.
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Extreme returns in emerging stock markets: evidence of a MAX effect in South Korea
TL;DR: In this article, the authors investigate the significance of extreme positive returns in the cross-sectional pricing of stocks in South Korea and provide important out-of-sample evidence of a strong negative MAX effect similar to that documented by Bali et al. (2011) in the US stock market.